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Senior Applied Scientist -- Computer Vision
US, WA, Seattle
Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale, production systems excite you? If you answered yes, we have an opportunity for you!Prime Video is disrupting the traditional television and movie industry with a growing library of high-quality media. Prime Video launched in 2007 and has quickly become a strategic priority for the company, reflected in the service’s recent expansion into over 240 countries and territories worldwide.This is a big opportunity to apply Computer Vision and directly impact millions of customers.A day in the lifeIn your day-to-day activities in this role, you'll embrace the challenges of a fast paced market and evolving technologies, and develop Computer Vision and Machine Learning models to extract deep 2/3-D video-understanding of Prime Video content. You will be encouraged to see the big picture, be innovative, and iteratively develop technology to impact millions of our customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.About the hiring groupThe PV-CVML team is a group of Applied Scientists working on a diverse set of 2/3-D video understanding problems while partnering with various teams across Prime Video (PV). The most unique aspect of our team is the broad set of exciting problems we get to work on for our multiple stakeholders across the entire video-streaming vertical. If you want to work on technically cutting-edge problems with massive customer impact, then our team is the perfect fit for you!Job responsibilitiesAs a member of our team, you will apply Computer Vision and Machine Learning to problems that have cross-organizational technological impact. Your work will focus on cleansing and preparing large scale datasets, training and evaluating models and deploying them to production. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable with digging in to customer requirements as you are drilling into design with development teams.We would like you to build models that can perform 2D/3D scene-understanding of all video-content available on Prime Video using computer vision, natural language processing, deep learning and advanced machine learning algorithms. We need to solve problems across many cultures and languages and have a huge amount of human-labelled data as well as operations team to generate labels across many languages to help us achieve these goals. Our team consistently strives to innovate, and holds several novel patents and inventions in the motion picture and television industry. We are highly motivated to extend the state of the art.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Data Scientist, Alexa AI
US, WA, Bellevue
Come join the Alexa Artificial Intelligence (AI) team, building the speech and language solutions behind Amazon Echo and other products and services! You will help us invent the future.A day in the lifeAn ideal candidate should also:· Have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes· Be expected to balance detailed execution with speed and possess solid collaborative skills· Have an ability to work in a fast-paced environment where every day brings new challenges and new opportunities· Have excellent business and communication skills and be able to work with business owners to develop and define solutionsJob responsibilitiesAs a Data Scientist of the Alexa AI Team, you will research and create models, improve models for natural language processing and speech recognition problems. You will gain hands-on experience with Amazon’s heterogeneous structured data sources, as well as large-scale computing resources, to accelerate advances in training deep neural networks for natural language understanding and automatic speech recognition on thousands of hours of speech. You will be supporting the solutions of highly visible and impactful business problems in the areas of new product development, automation, self-service solution, and quality improvement to continue to delight Alexa customers and help drive Amazon business performance.The ideal candidate should be passionate about delivering experiences that delight customers and creating solutions that are robust. They will be creating reliable, scalable and high performance products that require exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Scientist, Alexa AI
US, WA, Bellevue
Come join the Alexa Artificial Intelligence (AI) team, building the speech and language solutions behind Amazon Echo and other products and services! You will help us invent the future.Job responsibilitiesAs an Applied Scientist with the Alexa AI team, you will research and create models, and improve models for natural language processing and speech recognition problems. You will gain hands-on experience with Amazon’s heterogeneous structured data sources, as well as large-scale computing resources, to accelerate advances in training deep neural networks for natural language understanding and automatic speech recognition on thousands of hours of speech. You will support solving highly visible and impactful business problems in areas of new product development, automation, self-service solution, and quality improvement to continue to delight Alexa customers and help drive Amazon business performance.The ideal candidate should be passionate about delivering experiences that delight customers, and creating solutions that are robust. They will also create reliable, scalable and high performance products that require exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Molecular Biology Research Scientist
US, WA, Seattle
We are a team of doers working passionately to apply cutting-edge advances in diagnostics technology to solve real-world problems. As a Molecular Biology Research Scientist, you will work with a unique and gifted team developing exciting medical diagnostic products and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers.The Molecular Biology Research Scientist should be an expert in using molecular tools to develop assays leading to commercially viable products. They should have a deep understanding of underlying molecular processes and biochemical components within PCR, qPCR and Next Gen Sequencing (NGS) assays. This is someone capable of diving deep into the data (requires in-depth understanding of the lab processes, for example to do root cause analysis of experimental outcome based on the data), and someone who can work independently.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.
Applied Scientist
US, WA, Seattle
Amazon is looking for a passionate scientist to join the sustainable energy team at AWS. Amazon is committed to powering its global infrastructure with 100% renewable energy. As part of the sustainable energy team, you will develop new algorithms and solutions towards better utilizing our renewable and storage technologies on the grid. This is an exciting new role that will provide exposure to large-scale renewable projects across the globe.We are looking for an experienced Applied Scientist to build time series forecasting and reinforcement learning models for solving variety of problems managing our renewable and storage resources. You will be responsible for improving our strategy, coming up with new algorithms, and write excellent code. We are looking for someone who is customer obsessed and works backwards from customer needs and implements iterative solutions towards achieving our long-term goals.
Senior Applied Scientist - Alexa Internet
US, CA, San Francisco
Alexa.com is seeking a creative, entrepreneurial, and customer-obsessed Senior Applied Scientist who can apply cutting edge research and state-of-the-art machine learning and deep learning algorithms to the development of scalable AI marketing analytics solutions. The ideal candidate has a broad and deep background in machine learning and deep learning, is passionate about science, is highly driven to learn and deploy new technologies, thrives in a fast-paced environment that requires the development of solutions to ambiguous and challenging problems, and enjoys collaborating with both technical and nontechnical peers.We have been gathering and analyzing data from online sources for more than 20 years, with terabytes of archived crawl data, a data-contributing panel of millions of users in countries around the world, and millions of unique website visitors each month. This position provides the qualified candidate with an opportunity to join our smart, motivated team and to directly impact our business.A day in the lifeAt Alexa.com, we solve ML problems in natural language processing and understanding, search relevance and ranking, and digital behavior measurement and prediction. As part of our AI team, you will work as a hands-on practitioner and technical leader in multiple areas such as statistical modeling, NLP and NLU, dimensionality reduction, and deep learning. You will formulate and test hypotheses, evaluate and implement machine learning and deep learning techniques, and deliver new production services that will be used by millions of users worldwide.About the hiring groupAlexa.com is a subsidiary of Amazon.com serving millions of users worldwide and building the next generation of marketing analytics services. Our mission is to be most invaluable and trusted source of ground-breaking insights into digital behavior that customers use to win their audience and accelerate growth. For more information, visit www.alexa.com.Job responsibilities· Set the technical direction for scientific projects and mentor Applied Scientists· Contribute to strategic planning and project management for a variety of technical initiatives· Develop novel modeling techniques for machine learning, deep learning and natural language understanding· Write high quality code and contribute to the codebase of scientific applications· Develop prototypes and collaborate with stakeholders to assess the feasibility of selected approaches· Effectively communicate with customers, senior management, and colleagues with diverse roles and technical backgrounds· Document methodologies and increase institutional knowledge based on experimental results and operationalized solutionsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Applied Scientist - Alexa Internet
US, CA, San Francisco
Conversational interfaces are maturing and proliferating, but significant advances in conversational AI and related technologies will need to be made before a fully conversational web is possible. Alexa.com is seeking a creative, entrepreneurial, and customer-obsessed Applied Scientist who can apply cutting edge research and state-of-the-art machine learning algorithms as part of a new project that will push the boundaries of conversational AI. This position will require you to investigate and solve complex technical problems, innovate on behalf of customers, invent new technologies, and build cornerstone services to power the next generation of online conversational applications.The ideal candidate has a broad and deep background in machine learning, is passionate about science, is highly driven to learn and deploy new technologies, thrives in a fast-paced environment that requires the development of solutions to ambiguous and challenging problems, and enjoys collaborating with both technical and nontechnical peers. As part of our AI team, you will work as a hands-on practitioner and technical leader in multiple areas such as statistical modeling, NLP and NLU, and deep learning. You will formulate and test hypotheses, evaluate and implement ML techniques, train and test new models, and deliver new production services that will be used by customers around the world.About the hiring groupAlexa.com is a wholly owned subsidiary of Amazon.com. At Alexa.com, we solve ML problems in natural language processing and understanding, search relevance and ranking, and digital behavior measurement and prediction. We have been gathering and analyzing data from online sources for more than 20 years, with terabytes of archived web content, a data-contributing panel of millions of users in countries around the world, and decades of experience as a leading provider of competitive analytics and marketing intelligence services. For more information, visit www.alexa.com.Job responsibilities· Develop novel modeling techniques for pattern recognition, prediction, classification, and other complex data science problems· Develop prototypes and collaborate with stakeholders to assess the feasibility of selected approaches· Write high quality code and contribute to our codebase of scientific applications using relevant technologies· Contribute to strategic planning and project management for a variety of technical initiatives· Effectively communicate with customers, senior management, and colleagues with diverse roles and technical backgrounds· Document methodologies and increase our institutional knowledge based on experimental results and operationalized solutionsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Applied Scientist - Alexa AI
US, CA, Sunnyvale
Applied Scientists in Alexa Artificial Intelligence (AI) team work on customer-obsessed science innovation. They ideate, innovate, design, prototype and ship solutions that address customer opportunities in the areas of natural language understanding, natural language generation, multilingual modeling, speech recognition, personalization, and multimodal technologies.Job responsibilitiesIn this role you will:· Innovate simple and elegant machine learning solutions to deliver delightful experiences to Alexa’s customers.· Identify and solve customer problems with simple and elegant machine learning solutions.· Invent, build, test and deploy machine learning models for Alexa.· Design, develop, and implement production level code that serves millions of customers. Own the full development cycle: ideate, design, prototype, impact assessment, A/B testing (including interpretation of results) and production deployment.· Collaborate with engineers, product managers and pertinent teams in Alexa AI to find technical solutions to complex design problems.· Propose and validate hypotheses to direct our business and product road map.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Data Scientist - AWS Professional Services
CA, ON, Toronto
Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?At Amazon Web Services (AWS), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our AWS customers to address their business needs using AI.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers.You enjoy diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. You who like to have fun, love to learn, and want to innovate in the world of AI.You will be able to:· Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .· Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.· Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models.· Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.· Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.· Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.· Assist customers with identifying model drift and retraining models.· Research and implement novel ML and DL approaches, including using FPGA.· Able to write production level code, which is well-written and explainable· Experience using ML libraries, such as scikit-learn, caret, mlr, mllib· Experience working with GPUs to develop models· Experience handling terabyte size datasets· Track record of diving into data to discover hidden patterns· Familiarity with using data visualization tools· Knowledge and experience of writing and tuning SQL· Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format· Experience giving data presentations· Extended travel to customer locations may be required to deliver professional services, as needed· Strong written and verbal communication skillsThis role is open for Toronto/Vancouver/Calgary/Montreal.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop and enable them to take on more complex tasks in the future.
Applied Scientist for CV
DE, BE, Berlin
Do you get excited about working on scientific problems that will have a large, significant and lasting impact for Amazon customers? Are you interested in Computer Vision and Machine Learning? Are you thrilled about working in a startup-like environment? Search no more! We have an opening for an Applied Scientist in Berlin.As an Applied Scientist, you will be driving prototypes, projects and solutions in the fields of computer vision, machine learning and image optimisation. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact for Amazon Retail Experiences.Research areas our team is excited about include but are not limited to:· Image quality and image compression· Visual representation learning· Zero-shot learningMajor Responsibilities· Research, design, implement and evaluate novel computer vision algorithms· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields· Collaborate closely with other scientists and engineers to drive systems from prototyping to production level· Collaborate with teams spread all around the world· Engage with the scientific community (within Amazon and beyond)· Think outside the box and identify novel opportunities for a better customer experienceYour work will impact the shopping experience for millions of Amazon customers every day. Your ideas allow a fast path to production at scale and help us reshape the way we think about images at Amazon.
Senior Applied Scientist, Alexa AI
US, CA, Manhattan Beach
The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.Job responsibilitiesAs a Senior Applied Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Scientist, Alexa AI
US, MA, Cambridge
The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background, to help build industry-leading Speech and Language technology.About the hiring groupThe Alexa AI team has a mission to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.Job responsibilitiesAs an Applied Scientist with the Alexa AI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Senior Applied Scientist
US, WA, Bellevue
The Technologies (SCOT) team is a powerhouse providing the brainpower behind the Amazon and using artificial intelligence to grow the most complex retail networks in the world.The team is composed of scientists, engineers, and researchers who lead the industry in the development of innovative algorithms and strategies to maximize the long term effectiveness of Amazon’s Retail business.This team works to extend existing and build new algorithms and systems to achieve an ideal position, maximizing in-stock selection on behalf of our customers and growing our Seller’s businesses. We own and operate production systems that effect the most optimal strategy to ship a customer order, simulation systems that allow internal customers experiment with what-if scenarios and analytical systems to help understand results and derive intelligence from the same.The team in Bellevue, WA is focused on using cutting edge science to improve customer outcomes and transform our logistics, along with , and scalable distributed software in the cloud that automates and optimizes shipments to customers under the uncertainty of demand, and . When customers place orders, our systems use real time, large scale techniques to optimally choose from where to ship and how to consolidate multiple orders so that customers get their shipments on time or faster with the lowest possible costs.As the Fulfillment Network Planning team, one of our core responsibilities is to leverage big data to identify key patterns of success and failure, identify the areas we need to focus on first, understand root cause(s) that triggered failure, and to build models that will help fix the most impactful problems. The amount of data, the variables that come into play, and diversity of customers and locations make this role very challenging and also fun. It's great for those who love solving problems, especially when dealing with a lot of ambiguity and asking lots of smart questions that will lead to the discovery of universal concepts, and truly innovative ML solutions that continuously improve the customer delivery experience. Every member of the team needs to have innovative thinking, a burning desire to learn, and the skills and experience needed to build science and technology so advanced that it will appear to generate “magical outcomes”.As part of your daily work you will:· Analyze and extract relevant information from large amounts of data to help automate and optimize key processes.· Design, development and evaluation of highly innovative models for .· Think about customers and how to improve the customer delivery experience· Use and analytical techniques to create scalable solutions for business problems.· Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.· Technically lead and mentor other scientists in team.· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.· Research and implement novel and statistical approaches.To help describe some of our challenges, we created a short video about at Amazon - http://bit.ly/amazon-scot
Data Scientist – Global Marketing
US, VA, Herndon
Amazon is one of the most-loved brands in the US. This Data Scientist will help pinpoint how Amazon can continue to delight customers. We are the Data and Insights team, and we serve the Lifecycle Engagement and North American Marketing teams. Our work informs strategies that encourage customers to choose Amazon for their day-to-day shopping needs.About UsThe Data and Insights team does three things. 1) We identify trends in customer behavior using analytical and Data Science techniques. 2) We design automated reporting using AWS technologies and Business Intelligence tools. And 3) we create data products like customer segments and propensity models. We are a new team, which brings the opportunity to invent in undefined spaces. We have the privilege and the responsibility of having an outsized influence with our business partners.About YouYou want to make changes that help millions of customers. You don’t want to make something 10% better as a part of an enormous team. Rather, you want to innovate with a small community of passionate peers. You have experience in analytics, reporting, and big data, and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem solving skills. You research the latest data technologies and use them to help you innovate and keep costs low. You have great judgment and communication skills, and a history of delivering results.Your Responsibilities· Define and own complex machine learning solutions in the marketing space, including targeting, measurement, creative optimization, and multivariate testing.· Influence the broader team's approach to integrating machine learning into marketing workflows.· · Advise senior leadership, both tech and non-tech.· Make technical trade-offs between short-term needs and long-term goals.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Economist I - AMZ5335
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Economist ILocation: Seattle, WAPosition Responsibilities:Work directly with a team of economists and senior management on key business problems faced by Amazon Prime and Prime benefit teams. Apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Build econometric models using company data. Apply economic or econometric theory to solve business problems. Develop new techniques to process large data sets, address quantitative problems, and contribute to the design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) or forecasting (essential time series models). Leverage big data tools for data extraction. Write up and present analyses for distribution to various levels of management at Amazon.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Research Scientist
US, WA, Seattle
Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. The Alexa Economics team is looking for a Research Scientist to join us to support measurement of the Alexa business and to provide actionable insights across the Alexa ecosystem.A day in the lifeAs a Research Scientist you will partner with other scientists to build algorithms and have exposure to senior leadership as we communicate results and provide guidance to the business. You will work with product managers, SDEs, financial analysts, data scientists, and economists to better understand the features customers love and how to optimize customer discovery of these features. You will analyze large amount of business data, build research agenda, and identify key metrics we will use to track customer engagement across a wide range of touch points with Alexa. You will also help the broader team identify new features and business opportunities through your research.A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results across a variety of stakeholders. He/she will be an expert in statistics and machine learning. This high-impact role provides a great opportunity to demonstrate capabilities to dive deep, deliver results, think big, invent and simplify, and earn trust.About the hiring groupOur team is identifying the key drivers for engaging customers on the Alexa platform across devices, skills and services. As a part of the larger Alexa Customer Experience team, your area of influence and impact will be all of the Alexa organization across the globe. You will have a front row seat to the evolving voice assistant industry and opportunities to impact the customer experience of a cutting edge product used every day by people you know.Job responsibilitiesAs a member of the Alexa Econ team, you will have following technical and leadership responsibilities:· Interact with engineering, scientists, and business teams to develop new algorithms to measure impact of Alexa experiences;· Understand and mine the large amount of Alexa data, prototype and implement new learning algorithms and prediction techniques to improve model accuracy;· Contribute to progress of the Alexa and broader research communities by producing publicationsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Director, Ads Measurement Science
US, NY, New York
Passionate about Deep Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest big data and machine learning stacks at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on many billions of events in near real time.In this role you will lead a team of scientists to tackle some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and your team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend. As the primary leader for the Measurement Science team you will be partnering with VPs and Directors across all of our Ads verticals, driving growth and innovation.Some things you'll do in this role:· Work closely with scientists and engineers to architect and develop the best technical design and approach.· Be a hands-on technical leader and player-coach; inspire and empower innovation and thinking big in those around you.· Hire and develop a high performing team of scientists, raising the bar with each hire and mentoring your team to attain their business and career goals· Develop and execute project plans and delivery commitments; manage the day-to-day activities of the science teamAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Applied Scientist, Amazon Prime
US, VA, Herndon
Interested in modeling and understanding customer behavior through machine learning, artificial intelligence, and data mining over TB scale data with huge business impact on millions of customers? Join our team of Scientists and Engineers developing models to predict customer behavior and optimize the customer experience with Amazon Prime. This includes identifying who our customers are and providing them with personalized relevant content. As an ML expert, you will partner directly with product owners to intake, build, and directly apply your modeling solutions.There are numerous scientific and technical challenges you will get to tackle in this role, such as global scalability of models, combinatorial optimization, cold start problem, accelerated experimentation, short/long term goals modeling, cohort identification in a semi-supervised setting, and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from supervised learning, bandits, optimization, and RL.As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various ML algorithms and techniques (XGBoost, Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning), and statistical modeling techniques.Major responsibilities· · Build and develop machine learning models and supporting infrastructure at TB scale, in coordination with software engineering teams.· · Leverage Bandits and Reinforcement Learning for Recommendation Systems.· · Develop offline policy estimation tools and integrate with reporting systems.· · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.· · Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.· · Work closely with the business to understand their problem space, identify the opportunities and formulate the problems.· · Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.· · Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.
Sr Applied Scientist
US, CA, Sunnyvale
Are you a passionate scientist in the area of computer vision and machine learning who is aspired to develop new and innovative technologies to new product categories? Are you interested in applying your deep knowledge to new and challenging areas? Are you looking to scale capabilities computer vision and machine learning capabilities to new workload sizes? Are you up to the task of delivering innovative and scalable technology that manages automated recognition of millions of items?You will be part of a passionate team whose missions is to push the frontier of computer vision and machine learning technology into the smart home application area. This is a great opportunity for you to innovate in this space by developing algorithms at the edge and in the cloud, and integrating them into consumer services to enable a premium customer experience. In this role, you will be an owner of the full algorithm development cycle, from sensor evaluation and data engineering to algorithm design, implementation, optimization and deployment. This position also requires experience with developing efficient software components on resource-constrained computing platforms on the edge. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Job responsibilities· Apply best practices to investigate, acquire, process and analyze data sources for algorithm development.· Research and implement the state-of-the-art methods in computer vision and machine learning to deliver algorithms that meets product specifications.· Design, build algorithm evaluation frameworks, schedule and report algorithm performance on a regular basis.· Optimize and deploy algorithms on target hardware platforms.· Establish, develop and maintain frameworks and procedures for image sensor selection and evaluation and image quality monitoring.· Influence system design by making informed decisions on the selection of data sources, algorithms and sensors.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Scientist
US, WA, Seattle
The moment a customer makes a payment on Amazon is when trust is established – trust that the item is delivered on time, a refund is provided quickly if needed, a digital movie purchased will play immediately, a seller receives their disbursement, and hundreds of other experiences across Amazon when a customer completes a payment. The Payment Acceptance & Experience (PAE) team, within the Consumer Payments organization, has the mission to build the most trusted, intuitive, and accessible payment experience on Earth. Within PAE, the PAE ML team has a mission to enhance customer payments experience that requires advancing the state of the art in machine learning. We work backwards from the customer to create value for them by leveraging an underlying applied science methodology. We deploy our solutions through Native AWS services that operate at Amazon scale. We strive to publish our solutions and share our findings so that the broader Amazon scientific community can benefit.As an applied scientist on our team, your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solution that impacts Payments experience of millions of customers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and applying science to various business contexts. We are particularly interested in experience applying predictive modeling, natural language processing, deep learning, and reinforcement learning at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.Your responsibilities include:. Analyze the data and metrics resulting from traffic into Amazon Consumer Payments experiences.. Design, build, and deploy effective and innovative ML solutions to improve various components of the Consumer Payments experience, using predictive modeling, recommendations, anomaly detection, ranking, and forecasting.. Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.. Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR/Forecasting.Your benefits include:. Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers.. The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems.. Excellent opportunities, and ample support, for career growth, development, and mentorship.. Competitive compensation, including relocation support.The PAE ML team operates primarily out of Amazon's Seattle office. We are a new and expanding team where you will have an opportunity to influence our goals and mission. We collaborate with Software Engineering, Data Engineering, Product Management and Marketing teams within Amazon Consumer Payments to solve and deploy machine learning solutions at scale.Please visit https://www.amazon.science for more information
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